kalman filtering 中文意思是什麼

Research of concentrative kalman filtering algorithm for integrated navigation system for vehicle

基於車輛組合導航的集中卡爾曼濾波方法研究

An extended kalman filtering ( ekf ) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance

摘要設計了一種蜂窩系統無線定位中使用的擴展卡爾曼濾波（ ekf ）演算法，對其性能進行了模擬。

The glint suppression using high resolution range profile under conical angle measurement is studied, the angle information in signal components of scatters are extracted and averaged to suppress the glint. nonlinear kalman filtering methods under near spherical coordinate are analyzed and used to get more accurate tracking

研究了圓錐掃描測角體制下基於距離高分辨的角閃爍抑制方法，利用距離維高分辨像，提取強散射中心反射信號分量，在此基礎上估計出各個強散射中心的角度測量值，採用平均方法減少角閃爍對測角的影響。

Backed up by the soplat theory based on particle kinematics, the second chapter of this paper presents with analysis and simulation of several single observer passive measurement models, which uses such relative movement parameters as bearings changing rates and centrifugal acceleration information on the basis of bearings measurements. in the third chapter, the observability of location respectively using bearings and its changing rates information and centrifugal acceleration information is analyzed, and its observable condition is got. the fourth chapter puts forward the modified covariance extended kalman filtering ( mvekf ) against the defect of traditional extended kalman filtering ( ekf ), whose performance is simultaneously compared in the chapter with the performance of ususal tracking algorithm such as ekf, mgekf, iekf by computer simulation

在近年來提出的基於質點運動學原理的單站無源定位理論基礎上，本文第二章提出了幾種在角度測量的基礎上增加角度變化率及相對運動的離心加速度等運動學參數的單站無源測量模型，並對它們進行了分析和模擬；第三章分別對利用角度及其變化率信息定位和利用離心加速度信息定位的可觀測性進行分析並得到了相應的可觀測條件；第四章針對傳統擴展卡爾曼（ ekf ）方法的缺點，提出了一種修正協方差的擴展卡爾曼濾波（ mvefk ）方法，並將其和ekf 、 mgekf 、 iekf等常用的單站無源定位濾波方法進行了性能模擬比較；第五章通過引入雷達機動目標跟蹤方法和模型，提出了利用角度及其變化率對機動輻射源跟蹤的多級噪聲自適應方法和imm方法；第六章主要對角度變化率和離心加速度參數的獲取技術進行了研究，提出了幾種高精度測量脈沖序列多普勒頻率變化率的方法。

The results indicate that this comprehensive kalman filtering technique has the features of good stability of computation values, rather strong adaptability and well elimination of the effect caused by gross errors

算例結果表明，這種綜合卡爾曼濾波方法具有數值穩定性好、有較強的自適應性和能比較好地削弱粗差影響等優點。

Z - tranformation augmented fasf algorithm proposed in the dissertation can reduce the search space of integer ambiguity effectively, improve the effiency and real - time processing ability of integer ambiguity resolution ; it is essential to analyse the reliability of integer ambiguity after it was fixed, the ratio test algorithm proposed in the dissertation can reduce the time to fix new integer ambiguity after wrong fixes are detected ; to reduce further the number of epochs required for ambiguity resolution, that the baseline length constraint information which acts as observables is used to do kalman filtering to speed up ambiguity resolution is proposed

本文提出的z變換增強fasf演算法能有效的減小模糊值搜索空間，提高整周模糊值解算的速度和實時性；整周模糊值確定后，需要對整周模糊值的可靠性進行分析，本文提出的比率檢測演算法能有效的減少整周模糊值錯誤確定后整周模糊值二次解算所需要的時間；為了進一步減少整周模糊值解算所需的歷元數目，本文提出把基線長度先驗信息作為觀測量進行卡爾曼濾波輔助整周模糊值求解。

It also has comparison between kalman filtering algorithm and least square method in post - flight data processing

在事後數據處理中，用最小二乘法與kalman濾波方法進行比較。

System error is estimated with kalman filtering algorithm in real - time data processing and post - flight data processing

用kalman濾波演算法以實時數據處理和事後數據處理方式估計系統誤差。

Firstly, the mathematical method, wavelet transform of random error processing and kalman filtering algorithm of system error estimation, is designated ; the process of development of wavelet transform and its present research is recommended ; and, the definition and development situation of real - time data processing and post - flight data processing of trajectory measurement data is summarized briefly

首先指出了應用的數學方法，即處理隨機誤差的小波變換方法和估計系統誤差的kalman濾波演算法;介紹了小波變換方法的發展過程和國內外的研究現狀;綜述了彈道測量數據的實時數據處理和事後數據處理的概念和發展狀況。

Dynamic models and measurement models of real - time data processing and post - flight data processing are given respectively. based on kalman filtering, two improved kalman filtering algorithms are obtained, which correspond to different demand of real - time data processing and post - flight data processing

分別給出了在實時數據處理和事後數據處理中動力學模型和測量模型，根據kalman濾波思想，針對實時處理和事後處理的不同要求，得出對應的兩個改進的kalman濾波演算法。

First of all, we bring forward the basic project of tadil, which adapts to combined operations. it is suggested to use tdma ( the abbreviation of time division multiple access ) as the working pattern and utilize the concept of mobile ad hoc network to construct the data link network. aiming at the impact of time delay on data link and the characteristic of cooperative combat under the command of director aircraft, this thesis applies a kind of kalman filtering algorithm in polar coordinates to compensate the error of time delay, and then does the transformation of target motion parameters to obtain the current information of target

本文結合空軍裝備部某「十五」預研課題，圍繞著戰術數據鏈、多機協同多目標攻擊、超機動攻擊、空對地攻擊這四個方面展開了一系列的研究工作:本文首先給出了適應三軍聯合作戰的戰術數據鏈系統的基本方案，建議採用時分多址的工作模式，並利用移動自組織網路的概念構建數據鏈網路，同時針對數據鏈傳輸信息的時間延遲特性和指揮機指揮下的多機協同作戰特點，應用一種極坐標系下的卡爾曼濾波演算法對該傳輸延遲誤差進行補償，並在此基礎上進行目標運動參數的轉換，以獲得目標相對于某無人機的當前運動信息，且利用模擬驗證了方法的有效性。

In this paper, the starting parameters of the motor is estimated by kalman filtering arithmetic that is a parameter test mehod that can be considered the running state. base on the basic kalman filtering arthmetic, linearization extended kalman filtering arthmetic that is fit to the motor system that is a non - linear controled system is got

因此本文利用卡爾曼濾波遞推演算法對電機起動時的參數進行估計，該方法是一種結合運行方式的參數測試方法，從基本的卡爾曼濾波遞推演算法出發，推得了適應電機這個非線性控制系統線性化的推廣卡爾曼濾遞推波演算法。

A kalman filtering algorithm in polar coordinates

極坐標下卡爾曼濾波演算法的研究

Geography position and meteorology character in gongboxia watershed are analyzed, according to which the excess of infiltration and instantaneous unit hydrograph are used in runoff and affluence models, and muskingum routing method in river course affluence, kalman filtering technique and least square method in real - time correction

分析公伯峽流域所處地理位置及該流域內的氣象特徵，確定產、匯流模型採用超滲產流和瞬時單位線，河道匯流採用馬斯京根法，實時校正法由卡爾曼濾波和最小二乘法組成。

The application of wavelet transform in kalman filtering of analytical chemistry signals

小波變換及其在電力系統瞬態分析中的應用

The research analysed the influence of observational noises about temporal correlation, and gives recursive formula of kalman filtering

分析了測量噪聲時間相關對卡爾曼濾波結果的影響，給出了觀測噪聲時間相關時的卡爾曼濾波遞推公式。

First the idea of visual protractor is introduced, then a kalman filtering method is used to fuse visual information with encoder information to correct the mobile robot tracks obtained with encoder

首先，介紹了視覺量角計的思想，進而利用卡爾曼濾波的方法將視覺信息與碼盤信息相融合，對依靠碼盤得到的航跡進行了修正。

The result shows that the solar radiation pressure moments play a mainly part. based on kalman filtering, three kinds of attitude determination algorithms were studied using the attitude sensor now available on the explorer : the first based on digital solar sensor ( dss ) and gyroscope when the star sensor is not available ; another based on dss, high - gain antenna ( hga ) and gyroscope when the explorer is in the earth - safe mode ; the third based on star sensor combined with gyroscope when the explorer is in the normal mode

針對配置了典型測量敏感器的深空探測器，基於擴展kalman濾波給出了其姿態確定的方法:針對星敏感器不可用情形，給出了使用太陽敏感器和速率陀螺定姿的濾波器演算法;針對安全模式下的對地穩定定向情形，給出了太陽敏感器和高增益天線融合速率陀螺信息的定姿演算法;針對正常巡航模式給出星敏感器和速率陀螺聯合定姿演算法。

Then we uses the scheme that has the variable gain based on the kalman filtering model realize two steps phase - locks ring circuit track technology, this kind has the advantage that when changed the gain the digital phase - lock link to be allowed simultaneously to realize the fast capture and the reliable track, the simulation analyzes its capture performance

模擬結果表明，自編碼直擴通信系統的編碼捕獲性能具有可行性。採用基於卡爾曼濾波模型實現具有可變增益的二階鎖相環路的跟蹤技術，這種具有時變增益的數字鎖相環可以同時實現快速捕獲和可靠跟蹤，其捕獲性能要比傳統數字鎖相環改善很多。

Then presents the principle of gps navigation and orientation. at the fourth chapter, the kalman filtering arithmetic for dynamic gps is emphases

在此基礎上介紹了gps的導航定位原理，給出了衛星可見性演算法、選星演算法及定位演算法。